Stefan Depeweg

According to our database, Stefan Depeweg authored at least 7 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2019

Modeling Epistemic and Aleatoric Uncertainty with Bayesian Neural Networks and Latent Variables.

Stefan Depeweg

PhD thesis, 2019

2018

Solving Bongard Problems with a Visual Language and Pragmatic Reasoning.

Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel

CoRR, 2018

Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning.

Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft

Proceedings of the 35th International Conference on Machine Learning, 2018

Sensitivity analysis for predictive uncertainty.

Stefan Depeweg, José Miguel Hernández-Lobato, Steffen Udluft, Thomas A. Runkler

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems.

Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft

CoRR, 2017

A benchmark environment motivated by industrial control problems.

Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks.

Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft

Proceedings of the 5th International Conference on Learning Representations, 2017